Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
This paper introduces a new scalable technique for approximating indirect illumination in fully dynamic scenes for real-time applications, such as video games. We use lattices and...
Wire pipelining emerges as a new necessity for global wires due to increasing wire delay, shrinking clock period and growing chip size. Existing approaches on wire pipelining are ...
Data dissemination in decentralized networks is often realized by using some form of swarming technique. Swarming enables nodes to gather dynamically in order to fulfill a certai...
Thomas Locher, Remo Meier, Roger Wattenhofer, Stef...
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...